EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS
The purpose of this research is to assess the educational quality based on academic efficiency using three distinct data development analysis models, with the Engineering programs in Colombia serving as decision-making units. The research is evaluative in nature and is divided into four phases: 1) c...
- Autores:
-
Delahoz-Dominguez, Enrique
Mendoza-Mendoza, Adel
Visbal-Cadavid, Delimiro
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12185
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12185
https://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85127178719&origin=resultslist&sort=plf-f&src=s&sid=7191c9be4e48316251884d2df604715c&sot=b&sdt=b&s=TITLE-ABS-KEY%28EFFICIENCY+OF+ACADEMIC+ENGINEERING+PROGRAMS+IN+COLOMBIA%3A+AN+APPROACH+THROUGH+DATA+ENVELOPMENT+ANALYSIS%29&sl=117&sessionSearchId=7191c9be4e48316251884d2df604715c
- Palabra clave:
- Decision Making Units;
Data Envelopment Analysis;
DEA Model
LEMB
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2
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EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| title |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| spellingShingle |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS Decision Making Units; Data Envelopment Analysis; DEA Model LEMB |
| title_short |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| title_full |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| title_fullStr |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| title_full_unstemmed |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| title_sort |
EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS |
| dc.creator.fl_str_mv |
Delahoz-Dominguez, Enrique Mendoza-Mendoza, Adel Visbal-Cadavid, Delimiro |
| dc.contributor.author.none.fl_str_mv |
Delahoz-Dominguez, Enrique Mendoza-Mendoza, Adel Visbal-Cadavid, Delimiro |
| dc.subject.keywords.spa.fl_str_mv |
Decision Making Units; Data Envelopment Analysis; DEA Model |
| topic |
Decision Making Units; Data Envelopment Analysis; DEA Model LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
The purpose of this research is to assess the educational quality based on academic efficiency using three distinct data development analysis models, with the Engineering programs in Colombia serving as decision-making units. The research is evaluative in nature and is divided into four phases: 1) context analysis, 2) database development and adequacy assessment (DEA), 3) exploratory data analysis, and 4) outcome analysis. The results indicate that 14.3%, 29.8%, and 88.7%, respectively, of the engineering programs analysed are efficient for the CCR, BCC, and FDH models. What is novel in this study is the inclusion of end-of-high-school standardized exam results as input variables for the DEA model, as well as end-of-college exam results. Thus, the concept of quality and efficiency may be articulated, implying that colleges with the highest efficiency levels have a larger capacity for human resource transformation. The findings demonstrate how universities with high-quality certification achieve higher levels of efficiency. The proportion of efficient universities with excellent accreditations is 65 percent, 67 percent, and 78 percent, respectively, for CCR, BCC, and FDH. The study's primary contribution is the establishment of an analytical framework for evaluating university degrees that enables the identification and quantification of each degree's strengths and limitations, so serving as a tool for making objective educational decisions. © 2022 Taylor's University. All rights reserved. |
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2022 |
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2022 |
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2023-07-19T21:17:26Z |
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2023-07-19T21:17:26Z |
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2023 |
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DELAHOZ-DOMINGUEZ, E. N. R. I. Q. U. E., MENDOZA-MENDOZA, A. D. E. L., & VISBAL-CADAVID, D. E. L. I. M. I. R. O. (2022). EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS. Journal of Engineering Science and Technology, 17(2), 1105-1118. |
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https://hdl.handle.net/20.500.12585/12185 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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DELAHOZ-DOMINGUEZ, E. N. R. I. Q. U. E., MENDOZA-MENDOZA, A. D. E. L., & VISBAL-CADAVID, D. E. L. I. M. I. R. O. (2022). EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS. Journal of Engineering Science and Technology, 17(2), 1105-1118. Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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14 páginas |
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Delahoz-Dominguez, Enrique1845b064-8f16-48b4-8210-4a40985833e2Mendoza-Mendoza, Adeld6f952c6-8a50-46a1-a2e9-6920562be222Visbal-Cadavid, Delimiro33b0c618-efba-4c77-aa6f-27ae5b9800412023-07-19T21:17:26Z2023-07-19T21:17:26Z20222023DELAHOZ-DOMINGUEZ, E. N. R. I. Q. U. E., MENDOZA-MENDOZA, A. D. E. L., & VISBAL-CADAVID, D. E. L. I. M. I. R. O. (2022). EFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSIS. Journal of Engineering Science and Technology, 17(2), 1105-1118.https://hdl.handle.net/20.500.12585/12185https://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85127178719&origin=resultslist&sort=plf-f&src=s&sid=7191c9be4e48316251884d2df604715c&sot=b&sdt=b&s=TITLE-ABS-KEY%28EFFICIENCY+OF+ACADEMIC+ENGINEERING+PROGRAMS+IN+COLOMBIA%3A+AN+APPROACH+THROUGH+DATA+ENVELOPMENT+ANALYSIS%29&sl=117&sessionSearchId=7191c9be4e48316251884d2df604715cUniversidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe purpose of this research is to assess the educational quality based on academic efficiency using three distinct data development analysis models, with the Engineering programs in Colombia serving as decision-making units. The research is evaluative in nature and is divided into four phases: 1) context analysis, 2) database development and adequacy assessment (DEA), 3) exploratory data analysis, and 4) outcome analysis. The results indicate that 14.3%, 29.8%, and 88.7%, respectively, of the engineering programs analysed are efficient for the CCR, BCC, and FDH models. What is novel in this study is the inclusion of end-of-high-school standardized exam results as input variables for the DEA model, as well as end-of-college exam results. Thus, the concept of quality and efficiency may be articulated, implying that colleges with the highest efficiency levels have a larger capacity for human resource transformation. The findings demonstrate how universities with high-quality certification achieve higher levels of efficiency. The proportion of efficient universities with excellent accreditations is 65 percent, 67 percent, and 78 percent, respectively, for CCR, BCC, and FDH. The study's primary contribution is the establishment of an analytical framework for evaluating university degrees that enables the identification and quantification of each degree's strengths and limitations, so serving as a tool for making objective educational decisions. © 2022 Taylor's University. All rights reserved.14 páginasapplication/pdfengJournal of Engineering Science and TechnologyEFFICIENCY OF ACADEMIC ENGINEERING PROGRAMS IN COLOMBIA: AN APPROACH THROUGH DATA ENVELOPMENT ANALYSISinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Decision Making Units;Data Envelopment Analysis;DEA ModelLEMBinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cartagena de IndiasLópez, C., Benedito, V., León, M.J. The approach by competency in university training and its impact on student evaluation. the perspective of a team of pedagogy experts (2016) Formacion Universitaria, 9 (4), pp. 11-22. Cited 41 times. http://www.scielo.cl/pdf/formuniv/v9n4/art03.pdf doi: 10.4067/S0718-50062016000400003Numprasertchai, S., Poovarawan, Y. Enhancing university competitiveness through ICT based knowledge management system (2006) ICMIT 2006 Proceedings - 2006 IEEE International Conference on Management of Innovation and Technology, 1, art. no. 4035868, pp. 417-421. Cited 6 times. ISBN: 1424401488; 978-142440148-2 doi: 10.1109/ICMIT.2006.262196Alvitres, V., Chambergo, A., Fupuy, J. Formative research and Peruvian university accreditation (2014) Manglar, 11 (2), pp. 37-48. Cited 8 times.Burnett, C.A. Accreditation Sanctions as Quality Signals in a Competitive Market for Students (2022) Educational Policy, 36 (6), pp. 1507-1528. Cited 3 times. https://journals.sagepub.com/home/EPX doi: 10.1177/0895904820983034Netanda, R.S., Mamabolo, J., Themane, M. Do or die: student support interventions for the survival of distance education institutions in a competitive higher education system (2019) Studies in Higher Education, 44 (2), pp. 397-414. Cited 17 times. http://www.tandf.co.uk/journals/titles/03075079.asp doi: 10.1080/03075079.2017.1378632Heiskala, L., Erola, J., Kilpi-Jakonen, E. Compensatory and Multiplicative Advantages: Social Origin, School Performance, and Stratified Higher Education Enrolment in Finland (2021) European Sociological Review, 37 (2), pp. 171-185. Cited 13 times. http://esr.oxfordjournals.org/ doi: 10.1093/esr/jcaa046Cerdeira, J.M., Nunes, L.C., Reis, A.B., Seabra, C. Predictors of student success in Higher Education: Secondary school internal scores versus national exams (2018) Higher Education Quarterly, 72 (4), pp. 304-313. 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A review of issues of quality assurance and quality accreditation for higher education institutions and the situation in Vietnam (Open Access) (2020) Accreditation and Quality Assurance, 25 (4), pp. 273-279. Cited 6 times. http://link.springer-ny.com/link/service/journals/00769/index.htm doi: 10.1007/s00769-020-01439-3Visbal-Cadavid, D., Mendoza, A.M., Hoyos, I.Q. Prediction of efficiency in colombian higher education institutions with data envelopment analysis and neural networks (2019) Pesquisa Operacional, 39 (2), pp. 261-275. Cited 13 times. http://www.scielo.br/pdf/pope/v39n2/1678-5142-pope-39-02-261.pdf doi: 10.1590/0101-7438.2019.039.02.0261Pino-Mejías, J.-L., Solís-Cabrera, F.M., Delgado-Fernández, M., Barea-Barrera, R. Assessing the efficiency of research groups using data envelopment analysis (DEA) (Open Access) (2010) Profesional de la Informacion, 19 (2), pp. 160-167. 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